GPU Systems Architect

2 days ago

Nellore, Andhra Pradesh, India beBeeMachineLearning Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Principal Architect Lead

We are seeking an experienced Principal Engineer to lead the design and implementation of groundbreaking GPU computers that run demanding deep learning, high-performance computing, and computationally intensive workloads.

This senior architect will provide leadership in identifying architectural changes and/or completely new approaches for accelerating our deep learning models. Collaborating with various teams, they will drive an end-to-end workflow from data curation and training to performance optimization and deployment.

The successful candidate will be responsible for converting business needs associated with AI-ML algorithms into a set of product goals covering workload scenarios, end-user expectations, compute infrastructure, and time of execution. This should lead to a plan for making the algorithms production-ready.

  • Benchmark and optimize computer vision algorithms and hardware accelerators for performance and quality KPIs.
  • Optimize algorithms for optimal performance on the GPU tensor cores.

Skill Requirements:

Required Skills
  • M.S. or Ph.D. in Computer Science, Electrical Engineering, or related field.
  • 7+ years of relevant experience in at least a few of the following areas: Machine learning (with focus on Deep Neural Networks), numerical analysis, performance analysis, model compression, and optimization & computer architecture.
  • Strong data structures and algorithms know-how with excellent C/C++ programming skills.
  • Hands-on expertise with PyTorch, TensorRT, CuDNN, and GPU computing (CUDA, OpenCL, OpenACC).
  • In-depth understanding of container technologies like Docker, Singularity, Shifter, and Charliecloud.
  • Proficient in Python programming and bash scripting.
  • Excellent communication and collaboration skills.
  • Self-motivated and able to find creative practical solutions to problems.

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